507 assistant-professor-computer-science-data-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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(Department of Chemical Engineering, Waterloo Institute for Nanotechnology). Program Details: UM6P will be the administrative body for the program, where candidates will apply to the UM6P Postdoctoral Program
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be close to finishing a PhD in bioinformatics, artificial intelligence, biophysics, or computational biology. The ideal candidate will have demonstrated experience in developing and applying
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to a broader computational strategy for next‑generation polymer design. About You You will have, or be close to completing, a PhD in materials science, engineering, physics, chemistry, or a related area
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public engagement related to ageing, sociality, and conservation. This position offers an exciting opportunity to work at the interface of evolutionary ecology, ageing, and data science, addressing
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for this postdoctoral associate must have research experience in synthetic organic chemistry and organic compound isolation and characterisation, ideally with experience in the synthesis and derivatisation
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
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Act 2006. Full-Time, Fixed-Term until 30 November 2028 Applications are invited for the post of Post Doctoral Research Associate (PDRA) in the Department of Computer Science at Royal Holloway. This is a
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A National Institute of Health and Care Research (NIHR) Health Technology Assessment funded Postdoctoral Research Associate (PDRA) position is available at the Department of Cardiovascular and
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. The postholder will be physically based at Trinity College Dublin, embedded in the School of Computer Science and Statistics, Artificial Intelligence Discipline, and the Trinity College Institute of Neuroscience
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific